Gordon S. Linoff is a scholar working on Management Information Systems, Information Systems and Marketing.
According to data from OpenAlex, Gordon S. Linoff has authored 10 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Management Information Systems, 4 papers in Information Systems and 4 papers in Marketing. Recurrent topics in Gordon S. Linoff's work include Big Data and Business Intelligence (4 papers), Customer churn and segmentation (4 papers) and Data Mining Algorithms and Applications (4 papers). Gordon S. Linoff is often cited by papers focused on Big Data and Business Intelligence (4 papers), Customer churn and segmentation (4 papers) and Data Mining Algorithms and Applications (4 papers). Gordon S. Linoff collaborates with scholars based in Italy and United States. Gordon S. Linoff's co-authors include Michael J. Berry, M. J. Berry, Brij Masand, David L. Waltz, Michael W. Berry, Kurt Thearling and Craig Stanfill and has published in prestigious journals such as CERN Document Server (European Organization for Nuclear Research), University of Maribor digital library (University of Maribor) and Medical Entomology and Zoology.
In The Last Decade
Gordon S. Linoff
9 papers
receiving
1.8k citations
Hit Papers
What are hit papers?
Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Citations per year, relative to Gordon S. Linoff Gordon S. Linoff (= 1×)
peers
Duen‐Ren Liu
Countries citing papers authored by Gordon S. Linoff
Since
Specialization
Citations
This map shows the geographic impact of Gordon S. Linoff's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Gordon S. Linoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gordon S. Linoff more than expected).
Fields of papers citing papers by Gordon S. Linoff
This network shows the impact of papers produced by Gordon S. Linoff. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Gordon S. Linoff. The network helps show where Gordon S. Linoff may publish in the future.
Co-authorship network of co-authors of Gordon S. Linoff
This figure shows the co-authorship network connecting the top 25 collaborators of Gordon S. Linoff.
A scholar is included among the top collaborators of Gordon S. Linoff based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Gordon S. Linoff. Gordon S. Linoff is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
10 of 10 papers shown
1.
Linoff, Gordon S., et al.. (2011). Data mining techniquesfor marketing, sales, and customerrelationship management.1 indexed citations
Thearling, Kurt, Michael W. Berry, & Gordon S. Linoff. (2003). An Introduction to Data Mining.46 indexed citations
7.
Linoff, Gordon S. & Michael J. Berry. (2002). Mining the Web: Transforming Customer Data into Customer Value. Medical Entomology and Zoology.57 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
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